Artificial Intelligence is at the heart of a growing number of
applications such as autonomous vehicles, intelligent storage servers,
data centers, robotics, drones, and more. Kalray’s manycore MPPA®
intelligent processor has been architected from the ground up to meet
the incredible performance requirements of such advanced applications.
However, it is crucial to provide an easy way for AI developers to
seamlessly support the AI networks they develop.

“The Kalray MPPA® intelligent processor is capable of processing massive
amounts of data and trillions of instructions in parallel and in real
time, making it the perfect architecture for Artificial Intelligence
applications like self-driving cars and intelligent storage algorithms,”
said Stéphane Cordova, Vice-President of Embedded Business Unit at
Kalray. “Today, we are pleased to release the third version of the
Kalray Neural Network platform to the AI and machine learning community.
The KaNN is modular, compatible, easy-to-use and customizable, and it
empowers developers to unleash the full potential and performance of AI
applications built for Kalray MPPA® processors.”

KaNN 3.0 has been designed to be integrated into a more complex system
as a module. Intelligent systems are not composed of a single AI
function, but rather dozens of highly demanding functions running in
parallel. As an example, an autonomous driving system runs dozens of
AI-based and non-AI-based algorithms simultaneously. Kalray’s MPPA®
processors offer a unique capability to integrate, on a single
processor, all the critical functions of an intelligent system, without
performance degradation and while offering a guarantee of freedom of
interference. This makes the MPPA® unique to address intelligent system
challenges that industry encounters in applications such as next
generation vehicles, planes, drones or robots.

The Kalray Neural Network was created to give developers convenient
access to the full power of the MPPA, including an easy way to view and
modify the processor’s network mapping. In addition to being compatible
with any machine learning framework, KaNN imports the trained models
from these frameworks to ensure optimal execution of AI algorithms from
deep learning networks such as GoogLeNet, ResNet, YOLO and others. Users
of KaNN enjoy simplified prototyping, accelerated Convolutional Neural
Network (CNN) development, and full visibility in the process of
generating built-in “C” code and its deployment.

ABOUT KALRAY

Kalray (Euronext Growth Paris — FR0010722819 — ALKAL) is the pioneer in
processors for new intelligent systems. As a real technological
breakthrough, “intelligent” processors have the capability to analyze on
the fly, and in an intelligent manner, a very large amount of
information, and to make decisions and interact in real time with the
outside world. These intelligent processors will be deployed extensively
in fast-growing sectors, such as new-generation networks (intelligent
data centers) and autonomous vehicles, as well as healthcare equipment,
drones, and robots. Kalray’s offering encompasses both processors and
complete solutions (electronic boards and software). Created in 2008 as
a spin-off of CEA (“Commissariat à l'énergie atomique et aux énergies
alternatives”, the French Alternative Energies and Atomic Energy
Commission), Kalray serves customers such as server manufacturers,
intelligent system integrators, and consumer product manufacturers,
including car makers. For more information, visit www.kalrayinc.com.